Density-Based Spatiotemporal Clustering Algorithm for Extracting Bursty Areas from Georeferenced Documents

@article{Tamura2013DensityBasedSC,
  title={Density-Based Spatiotemporal Clustering Algorithm for Extracting Bursty Areas from Georeferenced Documents},
  author={Keiichi Tamura and Takumi Ichimura},
  journal={2013 IEEE International Conference on Systems, Man, and Cybernetics},
  year={2013},
  pages={2079-2084}
}
Nowadays, with the increasing attention being paid to social media, a huge number of georeferenced documents, which include location information, are posted on social media sites. People transmit and collect information over the Internet through these georeferenced documents. Georeferenced documents are usually related to not only personal topics but also local topics and events. Therefore, extracting bursty areas associated with local topics and events from georeferenced documents is one of… CONTINUE READING

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